Re-Assessing Governmental Corruption of Religion: Where Political Theory Meets Empirical Evidence

Harvard Dataverse DOI: https://doi.org/10.7910/DVN/HWQAOF

AUTHORS: Nahshon Perez (perezna@biu.ac.il), Ariel Zellman (ariel.zellman@biu.ac.il) and Jonathan Fox (jonathan.fox@biu.ac.il) 

SUMMARY OF REPLICATION FILES

All statistical analyses were conducted using Stata 18.0. All tests were conducted using native Stata commands as detailed in the included do file, including mixed effects ordered logits "MEOLOGIT" for the primary models, employing both standard coefficients and odds ratios to detail substantive results, as well as the "MARGINS" command for analyses of marginal effects found in the supplementary appendix. Data tables were produced using the 'ASDOC' module written by Attaullah Shah (Institute of Management Sciences, Peshawar). The base dataset is the World Values Survey (WVS), by Ronald F. Inglehart (University of Michigan, d. 2021), Alejandro Moreno (Autonomous Technological Institute of Mexico), Christian Welzel (Leuphana University), et al., drawing key explanatory variables from the Religion and State project, round 3 (RAS3), by Jonathan Fox (Bar-Ilan University). Additional sources of data for control variables are described in detail in the main text of the article.

INVENTORY OF FILES

1. Explanatory (read-me) file
2. Replication Dataset 
	* reassessing-govt-corruption-of-religion-2026.dta
3. Stata replication code (do file) for primary and supplementary models
	* Re-Assessing Governmental Corruption of Religion-2026-dofile.do
5. Stata replication output (log file) for primary and supplementary models
	* Re-Assessing Governmental Corruption of Religion-2026-logfile.log
6. Supplementary Appendix
	* Re-Assessing Governmental Corruption of Religion-2026-Appendix.pdf
